Model predictive control (MPC) methods are widely used in the power electronic field, including finite set model (FCS-MPC) and continuous (CCS-MPC). The degree of parameter uncertainty influence on two is key to evaluate feasibility application. This paper proposes a research method analyze FCS-MPC CCS-MPC’s current prediction error three-phase active filter (APF) under uncertainty. It compares...

Finite Control-Set Model Predictive Control (FCS-MPC) appears as an interesting alternative to regulate multiphase electric drives, thanks inherent advantages such its capability include new restrictions and fast-transient response. Nevertheless, in industrial applications, FCS-MPC is typically discarded control motors because the absence of a modulation stage produces high harmonic content. In...

the control of fluidized-bed operations processes is still one of the major areas of research due to the complexity of the process and the inherent nonlinearity and varying dynamics involved in its operation. there are varieties of problems in chemical engineering that can be formulated as nonlinear programming (nlps). the quality of the developed solution significantly affects the performance ...